Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

23 October 2018

Papers citing "Analyzing Neuroimaging Data Through Recurrent Deep Learning Models"

18 / 18 papers shown

Title
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 416 2 0 30 Oct 2024
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 88 82 0 17 Mar 2020
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 57 148 0 22 Oct 2019
Deep Transfer Learning For Whole-Brain fMRI Analyses A. Thomas K. Müller Wojciech Samek AI4CE 18 24 0 02 Jul 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 69 1,005 0 26 Feb 2019
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery Arturo Marbán Vignesh Srinivasan Wojciech Samek Josep Fernández A. Casals 47 84 0 22 May 2018
Anatomical Pattern Analysis for decoding visual stimuli in human brains Muhammad Yousefnezhad Daoqiang Zhang 37 13 0 05 Oct 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 53 1,186 0 28 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 268 2,254 0 24 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 45 354 0 22 Jun 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 338 18,300 0 27 May 2016
Interpretable Deep Neural Networks for Single-Trial EEG Classification I. Sturm Sebastian Bach Wojciech Samek K. Müller 49 353 0 27 Apr 2016
Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks S. Sarraf Ghassem Tofighi OOD 28 221 0 29 Mar 2016
Machine Learning for Neuroimaging with Scikit-Learn Alexandre Abraham Fabian Pedregosa Michael Eickenberg Philippe Gervais A. Mueller Jean Kossaifi Alexandre Gramfort Bertrand Thirion Gaël Varoquaux AI4CE 44 1,796 0 12 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 121 6,046 0 17 Nov 2014
Deep learning for neuroimaging: a validation study Sergey Plis R. Devon Hjelm Ruslan Salakhutdinov Vince D. Calhoun AI4CE 77 573 0 20 Dec 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 134 5,318 0 21 Nov 2012
Total variation regularization for fMRI-based prediction of behaviour V. Michel Alexandre Gramfort Gaël Varoquaux Evelyn Eger Bertrand Thirion MedIm 65 159 0 05 Feb 2011